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Volunteer Llm Engineer Intern Jobs in Indiana (NOW HIRING)

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ... OR Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a ...

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ... OR Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a ...

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ... OR Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a ...

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ... OR Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a ...

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ... OR Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a ...

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ... OR Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a ...

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Volunteer Llm Engineer Intern information

What is a Volunteer LLM Engineer Intern?

A Volunteer LLM Engineer Intern is an individual who assists in developing, fine-tuning, or implementing Large Language Models (LLMs) on a volunteer (unpaid) basis, usually as part of a research team or organization. They typically help with tasks such as data preprocessing, model training, evaluation, and improving LLM performance. These interns gain hands-on experience with cutting-edge AI technologies and may contribute to open-source projects or academic research. The role is ideal for students or early-career professionals seeking practical exposure to natural language processing and AI development.

What types of projects and responsibilities can I expect as a Volunteer LLM Engineer Intern?

As a Volunteer LLM Engineer Intern, you'll likely support the development, fine-tuning, and evaluation of large language models (LLMs) under the guidance of experienced engineers. Your daily tasks may involve data preprocessing, running model experiments, analyzing results, and contributing to documentation. You’ll often collaborate with data scientists, machine learning engineers, and sometimes research teams, gaining exposure to real-world NLP challenges. This role offers a valuable opportunity to build hands-on experience with cutting-edge AI technologies and learn best practices for working on scalable ML projects in a collaborative, often remote, team environment.

What are the key skills and qualifications needed to thrive as a Volunteer LLM Engineer Intern, and why are they important?

To thrive as a Volunteer LLM Engineer Intern, you need a foundational understanding of machine learning algorithms, natural language processing, and proficiency in Python, often supported by coursework or hands-on projects. Familiarity with frameworks like PyTorch or TensorFlow, as well as experience with tools such as Hugging Face Transformers, are commonly expected. Strong problem-solving abilities, collaboration, and a willingness to learn new concepts make a candidate stand out in this role. These skills are crucial to effectively contribute to model development, stay current with advancements, and work efficiently within a team environment.

What is the difference between Volunteer Llm Engineer Intern vs Volunteer Data Scientist Intern?

AspectVolunteer Llm Engineer InternVolunteer Data Scientist Intern
Required CredentialsBasic knowledge of machine learning, programming, and NLPBackground in statistics, data analysis, and programming
Work EnvironmentTech companies, research labs, AI startupsTech firms, research institutions, data-driven organizations
Employer & Industry UsageAI development, NLP projects, machine learning researchData analysis, predictive modeling, data visualization

Volunteer Llm Engineer Interns focus on developing and fine-tuning language models using machine learning and NLP techniques, often working on AI projects. Volunteer Data Scientist Interns analyze data sets, build predictive models, and generate insights. While both roles require programming skills, Llm Engineer Interns specialize in language models, whereas Data Scientist Interns focus on data analysis and visualization. Both positions are common in tech and research environments, but their core tasks differ based on their focus areas.

What are popular job titles related to Volunteer Llm Engineer Intern jobs in Indiana?

For Volunteer Llm Engineer Intern jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Volunteer Llm Engineer Intern jobs?

Cities in Indiana with the most Volunteer Llm Engineer Intern job openings:

Summer 2027 Intern - Software Engineer

Salesforce, Inc.

Indianapolis, IN • On-site

$52/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 247 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

About Futureforce University Recruiting

Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.

Job Category

Fixed Term & Temporary

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

What You'll Actually Be Doing

As an intern at Salesforce, you'll influence the future of our products, platform, and AI-powered experiences. You'll receive mentorship from experienced engineers while contributing to solutions - including the agentic technologies redefining how people work - that impact millions around the world. Beyond project work, you'll have access to professional and personal growth opportunities, including:
  • Comprehensive onboarding
  • Engineering-specific training
  • Executive Speaker Series
  • Volunteer Time Off
  • Professional Development Workshops
  • Employee Resource Groups (ERGs)
  • Ongoing Recruiter Support

You're Our Person If...
  • Enrolled and currently pursuing a BS/MS in Computer Science or related technical field
  • Returning to school after Summer 2027 to complete your degree
  • Enrolled in a college or university in North America
  • Strong understanding of object-oriented programming/design, algorithms, and data structures and how to efficiently implement them into a solution
  • Hands-on experience or strong curiosity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) and an eagerness to integrate them into real-world engineering workflows.
  • A budding AI-first mindset - comfortable experimenting with prompting techniques and leveraging AI to learn across the stack, ramp up quickly, and contribute meaningfully from day one.
  • Strong understanding of CS fundamentals and practical coding application
  • Team player with demonstrated collaboration skills

Even Better If...
  • Experience using and critically reviewing code and artifacts generated by large language model (LLM) coding assistants and agentic tools
  • Ability to effectively guide AI tools to achieve desired outcomes
  • Experience using Copilot, Cursor, Claude Code, Gemini or other agent-based frameworks
  • Coursework in SQL and relational database concepts
  • Proficiency in Java, Javascript and related frameworks
  • Working knowledge of HTML and web technologies
  • Knowledge of front end and back end languages
  • Strong communication skills - written, verbal, and visual
  • Strong analytical and problem-solving skills
  • Commitment to delivering high-quality solutions
  • Self-motivated and eager to learn
  • Experience using telemetry and metrics to drive operational excellence
  • Ability to quickly adapt to new technologies

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $43 - $52 per hour. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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